Memory management and parallelization of data intensive all-to-all comparison in shared-memory systems
Krishnajith, Anaththa Pathiranage Dhanushka (2014) Memory management and parallelization of data intensive all-to-all comparison in shared-memory systems. PhD thesis, Queensland University of Technology.
This thesis presents a novel program parallelization technique incorporating with dynamic and static scheduling. It utilizes a problem specific pattern developed from the prior knowledge of the targeted problem abstraction. Suitable for solving complex parallelization problems such as data intensive all-to-all comparison constrained by memory, the technique delivers more robust and faster task scheduling compared to the state-of-the art techniques. Good performance is achieved from the technique in data intensive bioinformatics applications.
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|Item Type:||QUT Thesis (PhD)|
|Supervisor:||Tian, Glen & Kelly, Wayne|
|Keywords:||All-to-all comparison, Composition vector method, Parallelization, Shared-memory systems, Memory management|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Institution:||Queensland University of Technology|
|Deposited On:||17 Dec 2014 06:31|
|Last Modified:||08 Sep 2015 06:49|
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